| A weather‐regime‐based stochastic weather generator for climate vulnerability assessments of water systems in the western United States S Steinschneider, P Ray, SH Rahat, J Kucharski Water Resources Research 55 (8), 6923-6945, 2019 | 63 | 2019 |
| Machine learning-based error modeling to improve GPM IMERG precipitation product over the brahmaputra river basin MAE Bhuiyan, F Yang, NK Biswas, SH Rahat, TJ Neelam Forecasting 2 (3), 248-266, 2020 | 60 | 2020 |
| Analysis of the climate change signal in Mexico City given disagreeing data sources and scattered projections F Behzadi, A Wasti, SH Rahat, JN Tracy, PA Ray Journal of Hydrology: Regional Studies 27, 100662, 2020 | 26 | 2020 |
| Remote sensing-enabled machine learning for river water quality modeling under multidimensional uncertainty SH Rahat, T Steissberg, W Chang, X Chen, G Mandavya, J Tracy, A Wasti, ... Science of the Total Environment 898, 165504, 2023 | 19 | 2023 |
| Prospect of Diaper Disposal and Environmental Impacts on Populated Urban Area like Dhaka City SH Rahat, AT Sarkar, SA Rafie International Conference on Advances in Civil Engineering, 26-28, 2014 | 19 | 2014 |
| Characterizing hydrologic vulnerability under nonstationary climate and antecedent conditions using a process-informed stochastic weather generator SH Rahat, S Steinschneider, J Kucharski, W Arnold, J Olzewski, W Walker, ... Journal of Water Resources Planning and Management 148 (6), 04022028, 2022 | 16 | 2022 |
| Machine learning-based error modeling to improve GPM IMERG precipitation product over the Brahmaputra river basin. Forecasting, 2, 248–266 MAE Bhuiyan, F Yang, NK Biswas, SH Rahat, TJ Neelam | 5 | 2020 |
| A Study on Selection of Probability Distributions of Extreme Hydrological Parameters for the Peripheral River System of Dhaka City S Alam, SM Khan, SH Rahat Academics World 15th International Conference, Bangkok, Thailand, 2015 | 3* | 2015 |
| Bracing for impact: how shifting precipitation extremes may influence physical climate risks in an uncertain future SH Rahat, S Saki, U Khaira, NK Biswas, IJ Dollan, A Wasti, Y Miura, ... Scientific reports 14 (1), 17398, 2024 | 2 | 2024 |
| Waste Management Models (WMM) and Their Application to Sustainable Waste Management in a Mega City like Dhaka S Hossain, AT Sarkar, SAA Rafie, SH Rahat Proceedings of the 4th International Conference on Solid Waste Management in …, 2015 | 1 | 2015 |
| Bridging the gap between top‐down and bottom‐up climate vulnerability assessments: Process informed exploratory scenarios identify system‐based water resource vulnerabilities J Kucharski, S Steinschneider, J Herman, J Olszewski, W Arnold, S Rahat, ... Water Resources Research 60 (11), e2023WR036649, 2024 | | 2024 |
| An Update to Probable Maximum Precipitation Accounting for More Than Moisture Availability Alone: A Case Study of Nepal. A Wasti, K Schlef, B Kappel, SH Rahat, G Atreya, A Townsend-Small, ... | | 2023 |
| Linking exploratory scenarios to process-informed insights in climate vulnerability assessments J Kucharski, S Steinschneider, J Olszewski, J Herman, S Rahat, P Ray, ... EGU23, 2023 | | 2023 |
| The Future of Hydropower under Climate Change A Wasti, PA Ray, S Rahat, J Tracy, G Mandavya, T Odunola, G Atreya, ... AGU Fall Meeting Abstracts 2022, GC16E-01, 2022 | | 2022 |
| Machine Learning for River Water Quality Prediction and Detecting Uncertainties with Changing Climate SH Rahat, T Steissberg, W Chang, X Chen, G Mandavya, A Wasti, J Tracy, ... AGU Fall Meeting Abstracts 2022, H15J-0913, 2022 | | 2022 |
| Characterizing Hydrologic Vulnerabilities under Climate Uncertainties using Physical Process-based and Machine Learning Models for Water Systems Management SH Rahat University of Cincinnati, 2022 | | 2022 |
| Water Quality Assessment using Machine Learning Algorithms from Remote Sensed Data under Non-Stationary Climate Conditions S Rahat, T Steissberg, J Kucharski, MAE Bhuiyan, A Wasti, J Tracy, ... AGU Fall Meeting Abstracts 2021, H25W-1290, 2021 | | 2021 |
| Evaluating the performance of long short-term memory (LSTM) modeling for predicting streamflow in subcatchments of differing size and hydrologic characteristics in Reynolds … E Deardorff, H Lotfi, S Rahat, J Frame AGU Fall Meeting Abstracts 2021, H31B-06, 2021 | | 2021 |
| Estimating the Probable Maximum Flood under Climate Change A Wasti, K Schlef, S Rahat, P Ray AGU Fall Meeting Abstracts 2020, H193-0004, 2020 | | 2020 |
| Investigating the Reservoir Response for the Antecedent Conditions related to Extreme Flood Events under Climate Non-Stationarity S Rahat, S Steinschneider, JR Kucharski, W Arnold, J Olszewski, ... AGU Fall Meeting Abstracts 2020, H193-0011, 2020 | | 2020 |
Patrick RayUniversity of CincinnatiVerified email at uc.edu
